Results 41 to 50 of about 10,921,374 (301)

Overcoming platinum resistance by the disulfiram metabolite CuET in novel preclinical models of human carcinomas

open access: yesMolecular Oncology, EarlyView.
Cisplatin‐resistant cancer cells survive DNA‐damaging platinum‐based treatment yet remain sensitive to CuET‐induced proteotoxic stress. The distinct mechanism of action allows CuET to overcome and eliminate cisplatin‐resistant tumour cells, unless highly expressed metallothioneins (MTs) interfere with CuET, thereby highlighting MT levels as candidate ...
Stefanos Arampatzis   +20 more
wiley   +1 more source

Inverse Optimal Control in State Derivative Space System with Applications in Motor Control

open access: yesEnergies, 2021
This paper mathematically explains how state derivative space (SDS) system form with state derivative related feedback can supplement standard state space system with state related feedback in control designs.
Feng-Chi Lee   +4 more
doaj   +1 more source

Directed evolution of enzymes at the crossroads of tradition and innovation

open access: yesFEBS Open Bio, EarlyView.
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova   +2 more
wiley   +1 more source

Comparison of Deep Learning and Deterministic Algorithms for Control Modeling

open access: yesSensors, 2022
Controlling nonlinear dynamics arises in various engineering fields. We present efforts to model the forced van der Pol system control using physics-informed neural networks (PINN) compared to benchmark methods, including idealized nonlinear feedforward (
Hanfeng Zhai, Timothy Sands
doaj   +1 more source

Nonlinear model predictive control for the ALSTOM gasifier. [PDF]

open access: yes, 2006
In this work a nonlinear model predictive control based on Wiener model has been developed and used to control the ALSTOM gasifier. The 0% load condition was identified as the most difficult case to control among three operating conditions.
Al-Seyab, Rihab   +3 more
core   +1 more source

Structural and biochemical insights into the thermostable esterase Ta0887 from Thermoplasma acidophilum

open access: yesFEBS Open Bio, EarlyView.
In this study, a novel esterase from the thermoacidophilic archaeon Thermoplasma acidophilum was biochemically and structurally characterized. Our results demonstrate that Ta0887 is a highly thermostable esterase that preferentially hydrolyzes p‐nitrophenyl hexanoate and possesses an α‐helical cap domain that likely contributes to its substrate ...
Alejandro Delgado‐Rey   +4 more
wiley   +1 more source

Enhanced tunable fracture properties of the high stiffness hierarchical honeycombs with stochastic Voronoi substructures

open access: yesResults in Physics, 2019
For multifunctional optimization design of honeycomb structures, the high stiffness hierarchical honeycombs with stochastic Voronoi substructures (HHSVS) are proposed by substituting cell walls of the regular hexagonal honeycombs (ORHH) with Voronoi ...
Bin Wang   +6 more
doaj   +1 more source

Hoist-Based Shape Memory Alloy Actuator with Multiple Wires for High-Displacement Applications

open access: yesActuators, 2023
Shape memory alloys (SMAs) are smart materials that change their crystalline structures when subjected to heat or tension, resulting in a macroscopic deformation.
Carmen Ballester   +4 more
doaj   +1 more source

Nonlinear Control

open access: yes, 2017
Nonlinear behavior is the general rule in physics and nature. Linear models, obtained by linearization or identification, are in general crude approximations of nonlinear behaviors of plants in the neighbourhood of an operating point. However, in many cases such as startup, shutdown, or important transient regimes, study of batch and fed-batch ...
openaire   +2 more sources

Development of a Nonlinear Model Predictive Control-Based Nonlinear Three-Mode Controller for a Nonlinear System

open access: yesACS Omega, 2022
This paper presents the novelty on a nonlinear proportional integral derivative (NPID) controller developed from the gain values obtained using the Lyapunov-based nonlinear model predictive controller (LyNMPC). The tuning parameters of the proposed controller are taken from the dynamics of the nonlinear system, and these parmeters are dynamic with ...
Suraj Suresh Kumar   +4 more
openaire   +2 more sources

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